Vadose Zone Journal (Jul 2019)

Time-Dependent Sorption and Desorption of Glyphosate in Soils: Multi-reaction Modeling

  • Joshua T. Padilla,
  • H. Magdi Selim

DOI
https://doi.org/10.2136/vzj2018.12.0214
Journal volume & issue
Vol. 18, no. 1

Abstract

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The herbicide glyphosate [-(phosphonomethyl) glycine] (GPS) is commonly found offsite of application areas, despite traditional presumptions of the compound’s immobility in the environment. This suggests that further efforts to predict the behavior and fate of GPS in soils are needed. In this study, kinetic batch experiments were conducted to assess the time-dependent sorption and desorption of GPS by two agricultural soils from southern Louisiana: Commerce silt loam (a fine-silty, mixed, superactive, nonacid, thermic Fluvaquentic Endoaquept) and Sharkey clay (a very-fine, smectitic, thermic Chromic Epiaquert). Results of batch experiments indicate a high affinity of both soils for GPS, with 24-h Freundlich coefficients of 158 and 396 L mg kg for the Commerce and Sharkey soils, respectively. An apparent time dependency of GPS sorption by both soils was observed, especially within the first 72 h. Changes in solution concentrations of the herbicide beyond 72 h are attributed to both additional sorption as well as solution-phase degradation. A two-site multi-reaction model incorporating time-dependent reversible and irreversible reactions successfully described the measured data from the batch experiments. However, values of the rate coefficients and sorbed concentrations may be overestimated due to the model’s inability to account for degradation processes. Analysis of extracted soil-bound residues illustrates that degradation of sorbed phase GPS is significant in both soils, although it occurs to a greater extent in the Sharkey soil. Degradation of the herbicide probably occurs through the aminomethylphosphonic acid pathway, as C remained associated with the phosphonomethyl group. Models that account for both time-dependent reactions and degradation will probably lead to improved predictions of the fate of GPS in soils.